Detection of biking, walking, and running
A wearable device automatically identifies an activity in which a user of the device is engaged while wearing the device. The wearable device receives motion data of the user collected during the activity and determines a magnitude and a frequency of the motion data. Based on the magnitude and frequency of the motion data, the wearable device identifies the activity in which the user is engaged.
1. A wearable device to be worn by a user during an activity, the wearable device comprising:
a motion sensor to collect motion data of the user during the activity; and
processing logic stored in a memory element of the wearable device and comprising instructions executable by a processor to:
receive motion data collected by the motion sensor;
determine a magnitude of the motion data by taking the magnitude of an acceleration signal, applying a high-pass filter to the acceleration signal, and integrating the standard deviation of the high-passed acceleration signal over a period of time;
determine a frequency of the motion data; and
identify the activity in which the user is engaged based on the magnitude and the frequency of the motion data.
2. The wearable device of claim 1 , wherein the processing logic further comprises instructions executable by the processor to:
determine the frequency of the motion data by determining a cadence of steps taken by the user;
responsive to the cadence exceeding a cadence threshold and the magnitude of the motion data exceeding a magnitude threshold, identify the activity as running; and
responsive to at least one of the cadence and magnitude being less than a corresponding threshold, identify the activity as walking.
3. The wearable device of claim 2 , wherein the processing logic further comprises instructions executable by the processor to:
after identifying the activity as running, detect at least one of the cadence falling below the cadence threshold and the magnitude of the motion data falling below the magnitude threshold; and
responsive to the detection, identify the activity as walking.
4. The wearable device of claim 1 , wherein the processing logic further comprises instructions executable by the processor to:
determine an orientation of the wearable device; and
identify the activity as bicycling based on the magnitude and the frequency of the motion data and the orientation of the wearable device.
5. The wearable device of claim 4 , wherein the processing logic further comprises instructions executable by the processor to:
determine a dominant frequency of a low frequency range of the motion data and a dominant frequency of a high frequency range of the motion data.
6. The wearable device of claim 5 , wherein the processing logic further comprises instructions executable by the processor to:
apply a trained classifier to the magnitude of the motion data, the orientation of the wearable device, the dominant frequency of the low frequency range, and the dominant frequency of the high frequency range, the classifier generating a score indicating a likelihood that the user is bicycling; and
responsive to the score exceeding a threshold, identify the activity as bicycling.